Project supported by the National Research Foundation of Korea(Nos.NRF-2020R1C1C1011970 and NRF-2018R1A5A7023490)。
This paper presents a new computational method for forward uncertainty quantification(UQ)analyses on large-scale structural systems in the presence of arbitrary and dependent random inputs.The method consists of a gen...
Supported by the NNSFC(Grant Nos.12171155,12071094,11801394);in part by the Science and Technology Commission of Shanghai Municipality(No.22DZ2229014)。
The purpose of the paper is to describe the solution to the quantum Yang-Baxter equation associated with the 8-dimensional spin representation Tsp of Uq(so7).The self-duality of Tsp and the symmetry of the correspondi...
Project supported by the National Natural Science Foundation of China(No.12201229)。
Physics-informed deep learning has recently emerged as an effective tool for leveraging both observational data and available physical laws.Physics-informed neural networks(PINNs)and deep operator networks(DeepONets)a...
为解决SWAT(soil and water assessment tool)模型在复杂情形下的参数不确定性分析问题,引入参数不确定性分析平台UQ-PyL(Uncertainty Quantification Python Laboratory),开发UQ-PyL与SWAT模型的耦合模块,使得UQ-PyL中的各种算法能够...
Objective: to study the key points of clinical nursing care in treating pelvic inflammatory disease with Tibetan medicine "Xiuqun Enbao Powder" douche vagina and "Wine Leaching Stone". Methods: 100 patients with pelvi...
the National Natural Science Foundation of China(Grant Nos.11971440,11871249,11771142,11931009);the Jiangsu Natural Science Foundation(No.BK20171294).
We define the Whittaker modules over the simply-connected quantum group U_(q)(sl3,∧),where A is the weight lattice of Lie algebra sl3.Then we completely classify all those simple ones.Explicitly,a simple Whittaker mo...